What is SL2?

The SL2 offers a new approach to alcohol monitoring. Where the term alcohol monitoring is frequently associated with urine testing or an alcohol ankle bracelet; SL2 is the first truly portable, convenient, and discreet alcohol monitoring solution. SL2 has a proven track record in Criminal Justice and Addiction Treatment with a presence in all 50 states and Canada.

SL2 Advantages:

  • Convenient portable testing
  • Completely automated
  • Real-time test results and alerts 

How Does it Work?

The portable Breathalyzer collects a deep-lung breath sample to measure Breath Alcohol Concentration, while simultaneously taking a photo of the individual to confirm their identity. The device wirelessly submits the test results to a cloud-based monitoring website where instant alerts can be set up to notify contacts if there are signs of a relapse.


Adaptive Facial Recognition

Adaptive Facial Recognition™ Technology Ensures Accurate Monitoring


How it works:

An embedded, high-resolution camera takes a picture of the participant during the breath alcohol test.

Each photograph is spatially analyzed by the Adaptive Facial Recognition™ software against an adaptive template of multiple participant photos on file:

  • As a result, this technology adjusts to subtle appearance changes over time (facial hair, weight gain/loss, etc.).
  • Other software compares against only one single master file photo and limits the capability of the facial recognition, making it more prone to unsuccessful matching and/or false positives or negatives.

Each test photo is saved in the client’s file, where it can be reviewed at any time:

  • Other systems utilize complicated systems, such as pulse and breath print biometrics, that require a technical algorithm for identification, but offer no confirmation tools for the officer– creating an unknown false acceptance and/or false rejection rate. With SL2’s Adaptive Facial Recognition™ software, confirmation tools, such as saved photographs, can be visually confirmed.

This technology substantially reduces the workload of manually verifying participant photos, while increasing system accuracy.